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Big Data with SAP Vora - Engines and Tools

via openSAP

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Overview

This is an updated version of the openSAP course “Big Data with SAP HANA Vora”. It will provide updated and new content.

SAP Vora is an in-memory, distributed, query-processing engine, designed as a Big Data solution, which extends the Apache Spark framework to provide enriched interactive analytics on data stored in Hadoop. It lets you combine Big Data with corporate data in a way that is both simple and fast.

SAP Vora provides enterprise-class drilldown insight into raw data, which allows you to inexpensively process enterprise and Hadoop data for real-time business applications and analytics. It also allows you to blend incoming data from customers, partners, and smart devices into enterprise processes by combining business data with external data sources to make better decisions through greater context.

This course dives deeper into the SAP Vora tools and new distributed analysis engines released in SAP Vora 1.4 for performing relational queries, time series, graph, document database analysis, and disk store.

Syllabus

Week 1: Overview: SAP Vora
Week 2: Data Analysis Engines/Functionalities
Week 3: Data Analysis with SAP Vora Tools
Week 4: SAP Vora Deployment
Week 5: Final Exam

Taught by

Puntis Jifroodian, Balaji Krishna and Jason Hinsperger

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